Introduction
In today's scenario, everything is fast-paced and efficient. Data management is also required to be more efficient and automated. The need to delete outdated or expired data from the database system arises from the sheer volume of data. For any system, memory is a crucial resource. The cost of memory that meets the requirements rises exponentially when the criteria start to rise. Thus, we need to take care that the system doesn't include any redundant data. DynamoDB solves this problem using its TTL (time-to-live) attribute.

In this blog, we will discuss DynamoDB TTL in detail. We will study the TTL (time-to-live) attribute in detail. We will also discuss the various methods to set the TTL feature in our DynamoDB instance. But first, let us learn more about DynamoDB and its TTL attribute in detail in the next section.
What is DynamoDB?
DynamoDB is a NoSQL database provided by the Amazon Web Service (AWS).It is a scalable database system used to meet the needs of online services and applications. The user can manage massive amounts of organised, semi-structured, and unstructured data using DynamoDB's storage environment.

Like any other NoSQL database, DynamoDB also possesses many valuable features. Some of the promising features of DynamoDB are given below.
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Flexibility - DynamoDB stores data in a JSON-like structure, increasing the data's flexibility. The data's design can be changed dynamically whenever required.
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Horizontal Scalability - DynamoDB provides horizontal scaling in the database system. This means that we can use multiple servers to handle large amounts of traffic and increase the fault tolerance of a system.
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Security Features - DynamoDB provides users with many security features like authentication, authorization, encryption, etc., to protect the data from unauthorized access.
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Community - DynamoDB is a popular database with a large user community, making resolving queries for new people easy.
- Easy Integration - DynamoDB can easily integrate with AWS services like AWS Lambda, Amazon Kinesis, Amazon CloudWatch monitoring, etc.